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6. Foxconn Subsidiary FIH Chooses QuickLogic's ArcticLink 3 S2-LP for New InFocus W201 Smartwatch

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   jfiebActive Member

   
   
   

   
   

   go look at the device. The conversation over it will be of more value then?
   

   1. 
      
      
      
      
      http://chinese.engadget.com/2016/03/29/infocus-w201/
      
      
      
      InFocus's first wearable device is designed for children
      
      In Taiwan, child safety has recently become one of the social issues of grave concern. InFocus choice on the eve of Children's Day launched its first product 
      small satellite positioning watches children thanks to the design of the embedded SIM could not removable,
      
      see there is a reason for the design that may appeal to families?
      
      Some devices we are in may have introduction dates, that like this one are chosen to gain mind share. They chose to intro it on Childrens day. Pretty neat. No delay, ready to roll when they wanted it done.

       

      Last edited: A moment ago

      jfieb, 22 minutes agoEditDeleteReport

      #24Reply
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      jfiebActive Member

      http://www.infocusphone.com/tw/product/w201/
      
      it seems very tightly integrated to their phone complete with an SOS app that a child can send to the parents phone that then gives a map to the location? ( a guess from the pics)
      
      Something like that. A much improved Jumpy?
      
      Something like that. This may resonate in Asia?

1. jfieb, 16 minutes agoEditDeleteReport

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      jfiebActive Member

      
      

      Up from the archives and a thanks to Albert H. and keep it up for us.....
      
      Albert Huang
      Sales Director at QuickLogic
      
      
      
      
      
      
      
      
      Sunday, February 8, 2015
      現職
      

      1. QuickLogic

      曾任
      

      1. Maxim Integrated Products, 
      2. AME, Inc, 
      3. Prime Young

      學歷
      

      1. Tung-Nan University

      推薦 1 位會員推薦了Albert
      388 位聯絡人
      個人背景
      專業簡介
      major responsibilities.
      
      1. Responsible for account development or maintenance.
      2. May supervise the activities of lower level sales managers / representatives and provide them with guidance, direction and development through coaching and monitoring.
      3. Responsible for driving business relationship with key accounts, including the implementation of measurable objectives for meeting bookings, revenue and design win goals.
      4. Performs other work related duties as assigned.
      5. Company interface with key customers
      6. Manage key customers' relations at all levels
      7. Coordinate internal resources to solve customer issues and manage distributor resources to support customer needs
      8. Work with internal people to provide customer service and technical support
      9. Work with BUs to develop sales strategies to achieve business objectives and increase revenue
      10. Report and respond to issues around customer inventories, competitive pricing, promotional activities and future plans.
      
      擅長領域：- International business development
      - Product marketing
      - Product Management
      - Market & risk analysis
      - Developing & executing business plans
      - Customer relationship management
      - Sales & strategy
      - Negotiations
      工作經歷
      
      Sales Director
      QuickLogic
      2011 年 11 月 – 目前 (3 年 4 個月)台灣
      
      RSM
      Maxim Integrated Products
      2003 年 10 月 – 2011 年 11 月 (8 年 2 個月)Taiwan
      Got promotion almost every 2 years since I joined MAXIM(AM -> Sr. AM -> DSM -> RSM).
      
      Contribution-
      AM/ Sr. AM period-
      Major responsible accounts were included hTC and Premier..etc. Rebuilt hTC and Premier’s confidence on MAXIM and revenue had grown from ~$5M/Q to ~$13M/Q, the growth rate was 160%.
      
      DSM period-
      1. Reorganized support team to support Foxconn groups and rebuilt relationship with Foxconn. Not only got more ODM business but also got more share for CM business. 
      2. Revenue had been grown from $83M/CY2006 to $94M/CY2007, the growth rate was 12.25%.
      3. Resolved design ban issue at CMI and got new RFQ to develop new PMIC for TV application.
      
      RSM period-
      1. Take the lead to overcome business crisis. Business had grown from $24.8M/CY08Q4 to ~ $119.5M/CY10Q3, the growth rate is 381%.
      
      Focused Accounts
      EMS- Foxconn, Jabil, Flextronics
      NB- Inventec, Foxconn(CCPBG, PCEBG and CMMSG), ASUS, Wistron, Quanta, Pegatron, Compal. Acer
      DSC- Altek, Abico, Foxconn(MOEBG), Asia Optical
      Panel- AUO, CMI
      Battery Pack- STL, Dynapack, Simplo, Celxpert.
      Phone- HTC, Foxconn(FIH), Asus-Garmin.
      Ebook- Foxconn(TMSBG), E-Ink.
      Albert H. can you do the same for us? Thanks in advance.
      Vice Sales Manager
      AME, Inc
      2001 年 5 月 – 2003 年 10 月 (2 年 6 個月)台灣
      Summary / AME(2001-5 ~ 2003-10):
      -. A TW local design house for analog solutions such as DC-DC, AC-DC..etc.
      -. Got promotion to asst. sales manager within 1.5 years.
      -. Major responsible accounts were included Foxconn, hTC, Mitac, ASUS. Revenue almost had double increased within 2 years.
      - Revenue was accounting for 35% of total company revenue per year. from the
      
      
      Again thanks Alber H.you know Foxconn very well-fill up their WPU bins with the Eos please and thanks in advance.

   
   

International Holdings Arm of Foxconn Technology Group
Investments
1 Investment in 1 Company
Headquarters:
Shenzhen City
Description:
Foxconn International Holdings (FIH) is a global provider of handset and wireless communications manufacturing and services.
Categories:
Manufacturing, Hardware, Software
Website:
http://www.fih-foxconn.com
Company Details
UPDATE
Founded:
2000
Employees:
7 in CrunchBase
FIH Mobile Limited -- a subsidiary of the world's largest and fastest growing multinational company in the fields of manufacturing services providers （including CEM，EMS, ODM and CMMS players) for Computer, Communication and Consumer electronics industries, Foxconn Technology Group, also known as Hon Hai Precision -- is the global leader in the handset and wireless communications manufacturing and service. From joint design and development to after-sales services, our highly integrated array of capabilities is designed to provide our customers with high speed, high volume, high quality, high flexibility and low cost solutions.

As a leading manufacturing services provider, FIH offers a comprehensive array of services for leaders in the handset and wireless communications industries. From product development and design, to manufacturing and assembly, to after-sales services and repairs, our customer-focused, highly integrated approach ensures top quality execution and rapid delivery of everything you need to compete in a rapidly evolving marketplace.

A truly global company and subsidiary of Foxconn Technology Group, FIH employs over 110,000 people throughout its operations and subsidiaries spanning Europe, Asia and the Americas. They're constantly enhancing their vertical integration of key components (eCMMs) and integration of mechanical and electrical engineering expertise, while continuing to strengthen extensive global manufacturing and services platform. FIH markets its products and services in Asia, Europe, and the United States.

Foxconn Precision Electronics (Taiyuan) Co., Ltd. operates as a subsidiary of Foxconn International Holdings Limited. Foxconn Precision Electronics (Taiyuan) Co., Ltd. operates as a manufacturer of mobile handsets. The company is based in Taiyuan, China.

QUIK can you make the Eos the WPU for all of Foxconn and let them make use of the flexibile FPGA part for all kinds of stuff?

THanks in advance.

Keep a HUGE company like Foxconn on your minds, how many different sorts of wearables they make...

the FPGA part of the Eos might come in handy for them to have in thier parts bin to make many things from 1 piece of silicon, nice for logistics to keep track of?

Foxonn item is a very good mental model of where the FPGA would be nice for Foxconn?

1. Foxconn is NOT just anybody to be in the parts bin.
   
   
   Foxconn taking aggressive moves to enter IoT industry
   
   “Foxconn Group is transforming to be a High technology solution provider, including hardware and software value creation.
   
   
   A snip from the cc.....
   
   
   With this significant increase in engagement activity, we are very pleased that our customers that are now involved in their second or third designs are effectively leveraging the knowledge they gained during their first design efforts. This lessens the investment in our engineering resources that we need to make with these customers to drive new design opportunities in production and demonstrates the leverage inherent to our business model. This was consistent with the strategic goals we covered in our last conference call.
   
   commentary, the news item from Foxconn is useful incremental info. It is a 2nd design for them, so until that item we could NOT put Foxconn into the above snip of text.
   
   Now we can.
   
   Fear and depression among holders is real. If QUIK could not deliver the service for a HUGE ODM like Foxconn they would not get a slot like this for a 2nd device.
   ANd IF we can get a 2nd device it allows consideration of a 3rd and 4th,
   They are ambitios and want to be a Player in the IoT, we want to get to know these guys very well.
   
   Nice job QUIK get us the 3rd and 4th one too.
   
   WHen will RUntastic have a new wearable.
   If we can get a 2nd device at Foxconn we can do it at Runtasic/Adidas,
   
   PS LG and SEC do they have anything in common?
   
   Yes they are both in Korea, but they are both Sensory inc. customers of audio. Nice 

    

   jfieb, 7 minutes agoEditDeleteReport

   #5Reply
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   jfiebActive Member

   New

   Up from the archives to read...a loooong time ago '14
   
   Foxconn’s wishlist for wearables and the Internet of Things
   chnology is not yet ready to underpin a mass market for wearable e-products.
   
   The Taiwanese company, almost certain to take major production contracts on the newly launched Apple Watch, has identified the absence of at least one critical component: a WPU or ‘wearables processing unit’.
   
   With its Hon Hai arm looking to develop Foxconn wearables/Internet of Things products – the company set up a wearables incubator last year – the often secretive technology giant offered an overview of necessary technologies during a presentation at Semicon Taiwan in Taipei.
   
   Addressing the low power, communications and sensor requirements for both wearables and the Internet of Things, Jason Tsai, senior manager for Innovation in Digital Systems at Foxconn’s Hon Hai Precision Industries, said, “We strongly suggest that ARM develops something suitable for a wearable device. Even the Cortex M0 [ARM’s smallest processor] is not suitable as a WPU.”
   
   He added that in the drive for greater interoperability of devices in a cloud-based environment will also need further integration of SoC and operating system development.
   
   “The best company at that has been Apple,” said Tsai, although he also noted Google’s ongoing work with Android Wear. But Foxconn sees HTML5 as increasingly important “because one web page equals one app”.
   
   “We believe HTML5 will be the choice for the next generation of operating system. It interlinks the cloud and ‘big data’ services,” he added.
   
   HTML5 will have the additional benefit of providing a common standard around which new wearable and IoT products can cluster and communicate. Today, wearables tend to use a proprietary OS – apart from the iOS variant for the Apple Watch, Samsung has installed the Tizen OS and more recently Android Wear on the Gear product line.
   
   Tsai made his comments to an audience that included senior executives from ARM and also Imagination, both of which are already battling for early-stage wearables design wins with their existing IP.
   
   Tsai argued that the increasing fragmentation makes the case for further innovation at the lower end in terms of device capability, and also at the high-end as cloud-based analysis and processing drive computing toward true implementations of artificial intelligence.
   
   Foxconn’s IoT/wearables design strategy
   Foxconn breaks down the infrastructure for the wearables/IoT market into an 11-3-2 matrix by screen size, network and cloud type. This in turn feeds into eight ‘lifestyle’ use types (see illustration).
   
   
   The 11-3-2 matrix for wearables and the Internet of Things, and target markets (Foxconn)
   
   According to these markets and their demands, Foxconn has gone on to identify the IC requirements for projects that address the market’s low, middle and high ends.
   
   Notwithstanding the need for the WPU, Tsai said that company can see applications at the low-end today for, say, the ARM Cortex M or silicon based on the 8051 architecture.
   
   At the middle end, Cortex R or MIPS configurations can be used. But, at the high end, as ‘big data’ makes more demands, 64bit ARM v8 and general purpose GPU options come into their own.
   
   But these essentially seed initial development and early adopter devices. More is needed.
   
   Beyond further innovations in the CPU and OS, Foxconn’s other technology demands for wearable/IoT devices include more cost effective dynamic voltage scaling for power management and fingerprint sensors with 500dpi resolution.
   
   Foxconn exports cost-down model to wearables
   As is generally acknowledged, cost will be the critical factor in realizing successful wearable/IoT products. Foxconn’s 11-3-2 matrix illustrates, however, that the market may tend more towards a plethora of vertical design requirements rather than the kind of flat horizontal ones that would more easily lend themselves to savings through mass production.
   
   Nevertheless, Foxconn has identified the typical wearables product as needing to incorporate five ‘IC requirements’:
   
   

   • SoC (apps processor)
   • Memory
   • Connectivity
   • Peripherals
   • Sensor

   Its approach now is to take the same IE-ECRS business methodology it uses to achieve efficiencies in factories and apply it to the core of designs for wearables and the IoT. ECRS breaks down as:
   
   

   • Eliminate
   • Combine
   • Rearrange
   • Simplify

   “We have accumulated a great deal of experience of using this model in manufacturing and now intend to apply the same theory to the Internet of Things,” said Tsai.
   
   
   
   
   Commentary; DO not miss the key incremental info here...its not the units of this win, its that it is a follow on to the first one its Foxconn.
   
   Can we become a regular supplier for ALL thier IoT ambitions?
   
   Now we can at least put it on the table to discuss.
   
   Nice work QUIK.
   
   This is Foxconn.

Machine learning
NNLE- Neural network learning engine,
A layer of intelligence on the device.

QUIK does NOT have to wait for the Eos 2 to do this. It will first be done in software, and that could go on the M4 above the FFE on the Eos.

QUIK will go for intelligence on the device.

Tell me who your friends are QUIK...

Well there is Sensory.

QUIK anticipated audio so well and has Sensory algos in the Eos when Amazon Echo has gotten the attention of anybody.

Sensory has more new technology...

like what?

1.More complex noise cancellation algos from Philips.

2. security on the device


FACE AND VOICE BIOMETRICS QUICKLY GAINING POPULARITY
February 22, 2016

Recently Peter O’Niel at FindBiometrics interviewed our CEO Todd Mozer about Sensory’s recent announcement of TrulySecure 2.0, check out the interview here: FindBiometrics

Summary: The industry is embracing biometrics faster than ever and many CE companies and app developers are embracing face and voice biometrics to improve user experience and bolster security. Face and voice offers significant advantages over other biometric modalities, notably when it comes to convenience, and particularly in the case of our TrulySecure technology, accuracy and security.

Sensory’s TrulySecure technology has evolved dramatically since its release and recently we announced TrulySecure 2.0 that actually utilizes real world usage data collected from our “AppLock by Sensory” app on the Google Play store. By applying what we learned with AppLock, we wereable to adapt a deep learning approach using convolutional neural networks to improve the accuracy of our face authentication. Additionally, we significantly improved the performance of our speaker verification in real world conditions by training better neural nets based on the collected data.

Overall, we have been able to update TrulySecure’s already excellent performance to be even better! The solution is now faster, smarter and more secure, and is the most accurate face and voice biometrics solution available.


Will they put this onto the Eos?


Won't have to wait too long to find out. The Eos will NOT be an empty slate, they are ready with stuff to go on it NOW?

But don't you have any other friends?

Yes, its a secret right now, but I will tell you pretty soon.

" Tell me who your friends are, and I'll tell you who YOU are"

A frequent expression in our home growing up.

QUIK is a regular at the equivalent of the Lloyds Coffee house of sensor fusion.
They have been in the coffee club a long time and listen more than they talk.
Its a pretty small group who can be a regular with a warm welcome from
others who go there. QUIK is NOT at the end of a roadmap they have 
the very real promise and that is shown in the people who have moved from one table
to QUIK, where they can help make real the ideas on the napkins of
Llold's of London cofee house of sensor fusion.

QUIK is NOT for sale. Look at their friends and that is who QUIK is also.

1. jfieb, Apr 11, 2016EditDeleteReport

   #45Reply
2. 

   jfiebActive Member

   
   
   

   commentary from the adjacent possible;
   
   QUIK IS NOT for sale from the lens of S Johnson's concepts, as they have not run out of $$ to explore the things that may well be within their grasp now.
   They are one of the companies that may actually be able to build a NNLE; neural network learning engine- of some importance.....( A fictional name I made up)
   
   Is machine learning the next commodity?
   
   Posted on April 18, 2016
   
   
   It’s not every day you can witness an entire class of software making the transition from specialized, expensive-to-develop code to a general-purpose technology. But that’s exactly what’s happening with machine learning.
   
   Chances are, you’re already hip-deep in machine-learning applications. It’s how Google Photo organizes those pictures from your vacation in Spain. It’s how Facebook suggests tags for the pictures you took at last week’s soccer match. It’s how the cars of nearly every major automaker can help you avoid unsafe lane changes.
   
   And it’s also the start of something even bigger.
   
   Machine learning – which enables a computer to learn without new programming – is exploding in its ability to handle highly complex tasks. It can make houses and buildings not just smart, but actively intelligent. It can take e-commerce from a one-size-fits-all experience to something personalized. It might even find your next date.
   
   Driving this surge of machine-learning development is a wave of data generated by mobile phones, sensors, and video cameras. It’s a wave whose scope, scale, and projected growth are unprecedented.
   
   Every minute of every day, YouTube gains 300 hours of video, Apple users download 51,000 apps, and 347,222 100,000 Tweets make their way into the world. Those stats come from the good folks at Domo, who call the time we’re living in “an era where data never sleeps.”
   
   
   Until now, the hot topic of conversation has been how to analyze information and take action based on the results. But the volume of data has become so great, and its trajectory so steep, that we need to automate many of those actions. Now.
   
   As a result, we expect machine learning will become the next great commodity. In the short term, we expect the cost of advanced algorithms to plummet – especially given multiple open-source initiatives – and to spur new areas of specialization. Longer term, we expect these kinds of algorithms to make their way into standard microprocessors.
   
   Marc Andreessen once said software is eating the world. In the case of machine learning, it will have a very large appetite.
   
   Proprietary becomes open
   To understand the potential of machine learning as a commodity, Linux is a good place to start. Released as a free, open-source operating system in 1991, it now powers nearly all the world’s supercomputers, most of the servers behind the Internet, and the majority of financial trades worldwide – not to mention tens of millions of Android mobile phones and consumer devices.
   
   Like Linux, machine learning is well down the open-source path. In the last few months, Baidu, Facebook, and Google have released sets of open-source machine-learning algorithms. Another group of high-tech heavyweights, including Sam Altman, Elon Musk, and Peter Thiel, have launched the OpenAI initiative. And universities and tech communities are adding new tools to the mix.
   
   In the short-to-medium term, we see three outcomes from this activity. First, companies that need to integrate machine learning into their products will do so inexpensively – either through their engineering teams or third-party vendors.
   
   Second, a three-tier system of available algorithms will establish itself. At the bottom layer will be open-source code. In the middle will be code with greater capabilities, available under license from Amazon, Google, Microsoft, or one of the other big players. At the top will be the highly prized code that keeps these companies competitive; it will stay closely guarded until they feel it’s time to make it available widely.
   
   Finally, we forecast a flurry of merger, acquisition, and licensing agreements as algorithm providers look to grow and defend their positions. We also expect more specialization as they attempt to lock down various markets.
   
   In fact, that process already is well under way.
   
   Smarter buildings & commerce
   For all the talk about smarter homes and buildings, today’s technologies aren’t nearly as intelligent as they could be. Yes, they can collect data and operate within confined parameters. But they can’t adapt to the way you live your life.
   
   If you get a new dog, for example, fixed-intelligence devices can’t tell the difference between the two of you. If your calendar shows you working from home, these devices won’t think to disable your security system without asking.
   
   Fortunately, that’s changing. Startups such as Nuro Technologies, for example, are pairing sophisticated sensors and self-learning networks for in-home applications. Think of the sensors as mini iPhones in and around your house. You can download software into them – fire sensing, irrigation control, security and more – the same way you load apps into a phone.
   
   Commerce is also a big opportunity for machine learning. Maybe the biggest. One of our portfolio companies, Vizury, uses machine learning to help companies display only the online ads you want to see. Awarestack is another great example: it uses data about how and where you park a car to create algorithms that can help you get around more efficiently.
   
   Then there’s Dil Mil, an online dating app very popular in the South Asian community and growing rapidly. Unlike conventional apps that use the data they collect to make a romantic match, it looks at social behaviors – such as posting on Instagram, Facebook, and Twitter – to find the best possible match. All in real time.
   
   Next stop: silicon
   If the Linux of the 1990s illustrates the long-term impact of machine learning, the laptop and desktop machines of the 1980s point to their final destination. In a word: silicon.
   
   Just as modems and graphics cards made their way into microprocessors and motherboards, so will machine learning software. There is simply too much data through which companies need to sift, too many actions they’ll need to take, and too many good algorithms already available.
   
   
   
   
   It’s going to be an exciting time.
   
   A director at Intel Capital, Sanjit Dang drives investments in user computing across the consumer and enterprise sectors. He has also driven several investments related to big data, the Internet of Things, and cloud computing.
   
   
   
   Because so much is at stake here and since QUIK really has some interesting bits and pieces on its bench, has expertise in FPGA, has the FFE, and software....they simply HAVE to try one layer of intelligence on the device.
   a NNLE -
   
   He who might build such a thing, will be worth a whole lot. ( I do have a number)
   
   QUIK will get stay the course until it succeeds in making this device, or cannot without BIG partners.
   
   
   Pundits can NOT see what is happening at all now. They did NOT see the Amazon Echo in the slightest, ( Sensory did a yr ago, !)
   
   QUIK is right where S Johnson would tell them to hang out. THey listen more than they talk, they have seen a layer of intelligence on the device for some time now,
   a NNLE would be the ticket to things NO ONE sees very well right now.
   
   In that sense the Eos is just a stepping stone( as good as it is) and Eos 2 must be one interesting item...connectivity for the IoT is looming large as the Al IV is also far more interesting than any
   connectivity they have had up till now. They must have the idea of a Universal connection engine for the IoT, that makes use of the flexibility of their FPGA to do universal IoT in a very small space.
   One connection engine for ALL the IoT.
   
   The adjacent possibile from wearables into the vast IoT suggests QUIK IS NOT for sale until like Amazons Echo it becomes clear that QUIK is a player.....